Results 71 to 80 of about 1,887,060 (321)

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

Advanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren, Qian Jiang, Xin Jin, Puming Wang, Xing Chu, Shaowen Yao, Shengfa Miao   +6 more
wiley   +1 more source

Strategic Roadmap for Adopting Data-Driven Proactive Measures in Solar Logistics

Applied Sciences
This study presents a comprehensive overview of the solar industry’s transition towards resilient energy solutions, emphasizing the critical role of data-driven practices in driving this transition through responsible resource management.
Madhura Bhandigani, Akram Pattan, Silvia Carpitella   +2 more
doaj   +1 more source

Comparison of in-hospital mortality risk prediction models from COVID-19.

PLoS ONE, 2020
ObjectiveOur objective is to compare the predictive accuracy of four recently established outcome models of patients hospitalized with coronavirus disease 2019 (COVID-19) published between January 1st and May 1st 2020.MethodsWe used data obtained from ...
Ali A El-Solh, Yolanda Lawson, Michael Carter, Daniel A El-Solh, Kari A Mergenhagen   +4 more
doaj   +1 more source

Leveraging Clinical Data Warehouses to Measure Impact of Update Prescription Guidelines of Polyvalent Immunoglobulins in 2018 in France [PDF]

, 2023
Morgane Pierre‐Jean, Guillaume Bouzillé, Mathilde Bories, Pascal Le Corre, Marc Cuggia   +4 more
openalex   +1 more source

Machine‐Learning‐Based, Feature‐Rich Prediction of Alumina Microstructure from Hardness

Advanced Intelligent Discovery, EarlyView.
Herein, high‐performance generative adversarial network (GAN), named ‘Microstructure‐GAN’, is demonstrated. After training, the high‐fidelity, feature‐rich micrographs can be predicted for an arbitrary target hardness. Microstructure details such as small pores and grain boundaries can be observed at the nanometer scale in the predicted 1000 ...
Xiao Geng, Jianan Tang, Ningxuan Wen, Jason Shaw, Siddhartha Sarkar, Lionel Vargas‐Gonzalez, Nicholas Ku, Jianhua Tong, Rajendra K. Bordia, Dongsheng Li, Fei Peng   +10 more
wiley   +1 more source

Performance Measures Using Electronic Health Records: Five Case Studies [PDF]

, 2008
Presents the experiences of five provider organizations in developing, testing, and implementing four types of electronic quality-of-care indicators based on EHR data.
Brian L. Hazlehurst, Dean F. Sittig, Elizabeth A. Kind, James T. Krizak, Jinnet Briggs Fowles, Jonathan P. Weiner, Kitty S. Chan, Lynne Dancha, Mark J. Selna, Nancy Jarvis, Patricia J. Coon, Shadi Awwad   +11 more
core  

Internet of Things‐Based Framework Application at a University Campus Scale: Linking Smart Monitoring Systems and Stormwater Management

Advanced Intelligent Discovery, EarlyView.
This study presents an Internet of Things‐based stormwater monitoring framework piloted at the University of Maryland campus to support Municipal Separate Stormwater Sewer System compliance and adaptive planning. Developed with key campus stakeholders, the framework integrates real‐time sensor deployment, data‐informed insights on runoff and water ...
Qianyao Si, Priscila B. R. Alves, Mitchell A. Pavao‐Zuckerman, Allen P. Davis, Tara Burke, Bryan S. Quinn, Elizabeth M. Bonsignore, Jennifer A. Cotting, Jason Baer, Kaitlyn Peterson, Pierre Gaunaurd, Tamara L. Clegg, David Loshin, Andrew M. Fellows, Taylor Keen, Gerrit J. Knaap, Marccus D. Hendricks   +16 more
wiley   +1 more source

Development of non-invasive diabetes risk prediction models as decision support tools designed for application in the dental clinical environment

Informatics in Medicine Unlocked, 2019
The objective was to develop a predictive model using medical-dental data from an integrated electronic health record (iEHR) to identify individuals with undiagnosed diabetes mellitus (DM) in dental settings.
Harshad Hegde, Neel Shimpi, Aloksagar Panny, Ingrid Glurich, Pamela Christie, Amit Acharya   +5 more
doaj   +1 more source

An association between decreasing incidence of invasive non-typhoidal salmonellosis and increased use of antiretroviral therapy, Gauteng Province, South Africa, 2003-2013. [PDF]

PLoS ONE, 2017
BACKGROUND:HIV-infected persons are at increased risk of opportunistic infections, including invasive nontyphoidal Salmonella (iNTS) infections; antiretroviral therapy (ART) reduces this risk.
Karen H Keddy, Simbarashe Takuva, Alfred Musekiwa, Adrian J Puren, Arvinda Sooka, Alan Karstaedt, Keith P Klugman, Frederick J Angulo   +7 more
doaj   +1 more source

System-in-the-loop Design Space Exploration for Efficient Communication in Large-scale IoT-based Warehouse Systems

, 2018
Instead of treating inventory items as static resources, future intelligent warehouses will transcend containers to Cyber Physical Systems (CPS) that actively and autonomously participate in the optimization of the logistical processes. Consequently, new
Drenhaus, Jens, Falkenberg, Robert, Sliwa, Benjamin, Wietfeld, Christian   +3 more
core   +1 more source